933 resultados para plans


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The aim of this paper is to analyze the determining factors for the pricing of handsets sold with service plans, using the hedonic price method. This was undertaken by building a database comprising 48 handset models, under nine different service plans, over a period of 53 weeks in 2008, and resulted in 27 different attributes and a total number of nearly 300,000 data registers. The results suggest that the value of monthly subscriptions and calling minutes are important to explain the prices of handsets. Furthermore, both the physical volume and number of megapixels of a camera had an effect on the prices. The bigger the handset, the cheaper it becomes, and the more megapixels a camera phone has, the more expensive it becomes. Additionally, it was found that in 2008 Brazilian phone companies were subsidizing enabled data connection handsets.

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Many of developing countries are facing crisis in water management due to increasing of population, water scarcity, water contaminations and effects of world economic crisis. Water distribution systems in developing countries are facing many challenges of efficient repair and rehabilitation since the information of water network is very limited, which makes the rehabilitation assessment plans very difficult. Sufficient information with high technology in developed countries makes the assessment for rehabilitation easy. Developing countries have many difficulties to assess the water network causing system failure, deterioration of mains and bad water quality in the network due to pipe corrosion and deterioration. The limited information brought into focus the urgent need to develop economical assessment for rehabilitation of water distribution systems adapted to water utilities. Gaza Strip is subject to a first case study, suffering from severe shortage in the water supply and environmental problems and contamination of underground water resources. This research focuses on improvement of water supply network to reduce the water losses in water network based on limited database using techniques of ArcGIS and commercial water network software (WaterCAD). A new approach for rehabilitation water pipes has been presented in Gaza city case study. Integrated rehabilitation assessment model has been developed for rehabilitation water pipes including three components; hydraulic assessment model, Physical assessment model and Structural assessment model. WaterCAD model has been developed with integrated in ArcGIS to produce the hydraulic assessment model for water network. The model have been designed based on pipe condition assessment with 100 score points as a maximum points for pipe condition. As results from this model, we can indicate that 40% of water pipeline have score points less than 50 points and about 10% of total pipes length have less than 30 score points. By using this model, the rehabilitation plans for each region in Gaza city can be achieved based on available budget and condition of pipes. The second case study is Kuala Lumpur Case from semi-developed countries, which has been used to develop an approach to improve the water network under crucial conditions using, advanced statistical and GIS techniques. Kuala Lumpur (KL) has water losses about 40% and high failure rate, which make severe problem. This case can represent cases in South Asia countries. Kuala Lumpur faced big challenges to reduce the water losses in water network during last 5 years. One of these challenges is high deterioration of asbestos cement (AC) pipes. They need to replace more than 6500 km of AC pipes, which need a huge budget to be achieved. Asbestos cement is subject to deterioration due to various chemical processes that either leach out the cement material or penetrate the concrete to form products that weaken the cement matrix. This case presents an approach for geo-statistical model for modelling pipe failures in a water distribution network. Database of Syabas Company (Kuala Lumpur water company) has been used in developing the model. The statistical models have been calibrated, verified and used to predict failures for both networks and individual pipes. The mathematical formulation developed for failure frequency in Kuala Lumpur was based on different pipeline characteristics, reflecting several factors such as pipe diameter, length, pressure and failure history. Generalized linear model have been applied to predict pipe failures based on District Meter Zone (DMZ) and individual pipe levels. Based on Kuala Lumpur case study, several outputs and implications have been achieved. Correlations between spatial and temporal intervals of pipe failures also have been done using ArcGIS software. Water Pipe Assessment Model (WPAM) has been developed using the analysis of historical pipe failure in Kuala Lumpur which prioritizing the pipe rehabilitation candidates based on ranking system. Frankfurt Water Network in Germany is the third main case study. This case makes an overview for Survival analysis and neural network methods used in water network. Rehabilitation strategies of water pipes have been developed for Frankfurt water network in cooperation with Mainova (Frankfurt Water Company). This thesis also presents a methodology of technical condition assessment of plastic pipes based on simple analysis. This thesis aims to make contribution to improve the prediction of pipe failures in water networks using Geographic Information System (GIS) and Decision Support System (DSS). The output from the technical condition assessment model can be used to estimate future budget needs for rehabilitation and to define pipes with high priority for replacement based on poor condition. rn

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Esperienza di sviluppo di business plan aziendale

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La radioterapia è una tecnica molto impiegata per la cura del cancro. Attualmente la somministrazione avviene principalmente attraverso la intensity modulated radiotherapy (IMRT, sovrapposizione di campi ad intensità modulata), un cui sviluppo recente è la volumetric modulated arc therapy (VMAT, irradiazione continua lungo un arco ininterrotto). La generazione di piani richiede esperienza ed abilità: un dosimetrista seleziona cost functions ed obiettivi ed un TPS ottimizza la disposizione dei segmenti ad intensità modulata. Se il medico giudica il risultato non soddisfacente, il processo riparte da capo (trial-and-error). Una alternativa è la generazione automatica di piani. Erasmus-iCycle, software prodotto presso ErasmusMC (Rotterdam, The Netherlands), è un algoritmo di ottimizzazione multicriteriale di piani radioterapici per ottimizzazione di intensità basato su una wish list. L'output consiste di piani Pareto-ottimali ad intensità modulata. La generazione automatica garantisce maggiore coerenza e qualità più elevata con tempi di lavoro ridotti. Nello studio, una procedura di generazione automatica di piani con modalità VMAT è stata sviluppata e valutata per carcinoma polmonare. Una wish list è stata generata attraverso una procedura iterativa su un gruppo ristretto di pazienti con la collaborazione di fisici medici ed oncologi e poi validata su un gruppo più ampio di pazienti. Nella grande maggioranza dei casi, i piani automatici sono stati giudicati dagli oncologi migliori rispetto ai rispettivi piani IMRT clinici generati manualmente. Solo in pochi casi una rapida calibrazione manuale specifica per il paziente si è resa necessaria per soddisfare tutti i requisiti clinici. Per un sottogruppo di pazienti si è mostrato che la qualità dei piani VMAT automatici era equivalente o superiore rispetto ai piani VMAT generati manualmente da un dosimetrista esperto. Complessivamente, si è dimostrata la possibilità di generare piani radioterapici VMAT ad alta qualità automaticamente, con interazione umana minima. L'introduzione clinica della procedura automatica presso ErasmusMC è iniziata (ottobre 2015).

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Planning in realistic domains typically involves reasoning under uncertainty, operating under time and resource constraints, and finding the optimal subset of goals to work on. Creating optimal plans that consider all of these features is a computationally complex, challenging problem. This dissertation develops an AO* search based planner named CPOAO* (Concurrent, Probabilistic, Over-subscription AO*) which incorporates durative actions, time and resource constraints, concurrent execution, over-subscribed goals, and probabilistic actions. To handle concurrent actions, action combinations rather than individual actions are taken as plan steps. Plan optimization is explored by adding two novel aspects to plans. First, parallel steps that serve the same goal are used to increase the plan’s probability of success. Traditionally, only parallel steps that serve different goals are used to reduce plan execution time. Second, actions that are executing but are no longer useful can be terminated to save resources and time. Conventional planners assume that all actions that were started will be carried out to completion. To reduce the size of the search space, several domain independent heuristic functions and pruning techniques were developed. The key ideas are to exploit dominance relations for candidate action sets and to develop relaxed planning graphs to estimate the expected rewards of states. This thesis contributes (1) an AO* based planner to generate parallel plans, (2) domain independent heuristics to increase planner efficiency, and (3) the ability to execute redundant actions and to terminate useless actions to increase plan efficiency.

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Congress and the Department of Health and Human Services (DHHS) intend for the Family Preservation and Support Act of 1993 (P.L. 103-66) to catalyze major reforms in state human services systems. DHHS and numerous other institutions developed conceptual and procedural guidance for the states' planning processes. Review of the planning dimensions of participation and expertise reveals that major emphases on stakeholder participation and technical planning processes obscure the need for expertise in family preservation and family support.

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Aim: A major depressive episode is still a frequently discussed risk factor of suicidal behaviour. However, current studies suggest that depression is predictive of suicidal ideas but much less of suicidal act (Nock et al., 2009). This implies that suicidal behaviour should not only be seen as a symptom of a depressive disorder, but should be understood as an independent behaviour, which must be examined separately. The present qualitative study focuses on typical Plans and motives of suicide attempters compared to non-suicidal depressive individuals.Methods: Plan Analysis (Caspar, 2007), a clinical case conceptualization approach was used to analyze the instrumental relations between participants' behaviours and the hypothetical Plans and motives "behind" this behaviour. Video taped narrative interviews of 17 suicide attempters and intake interviews of 17 non‐suicidal depressive patients were investigated with the Plan Analysis procedure and a Plan structure was developed for each participant. These were used for establishing a prototypical Plan structure for each clinical group.Results: Results indicate that suicidal behaviour serves various Plans and motives only found in suicide attempters. Furthermore depressive patients pursue interpersonal control strategies which may serve as a protective factor for not evolving suicidal behaviour.Discussion. Findings are discussed with respect to current theoretical models of suicidality as well as implications for suicide prevention.

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Boberach: Die Verarbeitung von Gold und Silber hat Geldmangel bewirkt, darum sollen alle Gegenstände aus Edelmetall gegen Entschädigung in Kassenanweisungen eingezogen oder ihr Besitz versteuert werden

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Background: Due to the relationship between SES and health, pursuing post high-school plans can lead to better future health outcomes for the student. The current paper assesses how behavioral and health risk factors, and family and social support, effect a student’s decision to pursue post high school plans. Methods: Data from the Youth Behavioral Component of the 2007 Connecticut School Health Survey were analyzed. Composite measures of exposure to/participation in violent behavior, mental and physical health, family/social support and substance abuse were created. The effects of these domains on the decision to pursue post high-school plans were assessed using logistic regression. Data were stratified by socioeconomic status. Results: Low SES students were more likely than high SES students to be doubtful for post high-school plans. Cocaine abuse emerged as the risk factor that put low SES students at the highest odds of not pursuing post high-school plans, followed by involvement in violent/aggressive behavior, and receiving less family/social support than their peers. Similar findings regarding violence and family/social support were found in the high SES group. Findings regarding substance abuse in the high SES group were not statistically significant. Discussion: Prevention programs regarding violence and substance abuse may have the added benefit of increasing the likelihood that high school students will make post high school plans. Preventing cocaine use among low SES students may be of particular importance. Violence prevention measures should be tailored to the target group. Adequate family/social support emerged as an encouraging factor for post high school plans.